no code implementations • 28 Jun 2022 • Han Zhou, Xinchao Xu, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Siqi Bao, Fan Wang, Haifeng Wang
Making chatbots world aware in a conversation like a human is a crucial challenge, where the world may contain dynamic knowledge and spatiotemporal state.
no code implementations • 22 Apr 2022 • Shihang Wang, Xinchao Xu, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Haifeng Wang
In this task, the agent conducts empathetic responses along with the target of eliciting the user's positive emotions in the multi-turn dialog.
1 code implementation • Findings (ACL) 2022 • Xinchao Xu, Zhibin Gou, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Haifeng Wang, Shihang Wang
Most of the open-domain dialogue models tend to perform poorly in the setting of long-term human-bot conversations.
3 code implementations • 20 Sep 2021 • Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zheng-Yu Niu
To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL with up to 11 billion parameters, trained on both Chinese and English social media conversations.
3 code implementations • Findings (ACL) 2021 • Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, Xinchao Xu
To build a high-quality open-domain chatbot, we introduce the effective training process of PLATO-2 via curriculum learning.